Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2302.02591
Cited By
v1
v2
v3 (latest)
Generative Diffusion Models on Graphs: Methods and Applications
International Joint Conference on Artificial Intelligence (IJCAI), 2023
6 February 2023
Junfeng Fang
Wenqi Fan
Yunqing Liu
Jiatong Li
Hang Li
Hui Liu
Shucheng Zhou
Qing Li
MedIm
DiffM
Re-assign community
ArXiv (abs)
PDF
HTML
HuggingFace (1 upvotes)
Github (204★)
Papers citing
"Generative Diffusion Models on Graphs: Methods and Applications"
46 / 46 papers shown
BadGraph: A Backdoor Attack Against Latent Diffusion Model for Text-Guided Graph Generation
Liang Ye
Shengqin Chen
Jiazhu Dai
182
0
0
23 Oct 2025
Graph-Aware Diffusion for Signal Generation
Sergio Rozada
Vimal K. B.
Andrea Cavallo
A. Marques
Hadi Jamali-Rad
Elvin Isufi
DiffM
146
0
0
06 Oct 2025
Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
Yuchen Liang
Yingbin Liang
Lifeng Lai
Ness B. Shroff
378
5
0
20 Sep 2025
Fast 3D Diffusion for Scalable Granular Media Synthesis
Muhammad Moeeze Hassan
Régis Cottereau
Filippo Gatti
Patryk Dec
158
0
0
27 Aug 2025
Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era
Dawei Li
Yue Huang
Ming Li
Tianyi Zhou
Xiangliang Zhang
Huan Liu
SyDa
155
3
0
27 Aug 2025
GraphTreeGen: Subtree-Centric Approach to Efficient and Supervised Graph Generation
Yitong Luo
Islem Rekik
223
0
0
13 Aug 2025
Bures-Wasserstein Flow Matching for Graph Generation
Keyue Jiang
Jiahao Cui
Xiaowen Dong
Laura Toni
379
2
0
16 Jun 2025
The Diffusion Duality
Subham S. Sahoo
Justin Deschenaux
Aaron Gokaslan
Guanghan Wang
Justin T Chiu
Volodymyr Kuleshov
DiffM
530
52
0
12 Jun 2025
Esoteric Language Models: Bridging Autoregressive and Masked Diffusion LLMs
Subham Sekhar Sahoo
Zhihan Yang
Yash Akhauri
Johnna Liu
Deepansha Singh
Zhoujun Cheng
Zhengzhong Liu
Eric P. Xing
John Thickstun
Arash Vahdat
350
23
0
02 Jun 2025
Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models
Yuchen Liang
Renxiang Huang
Lifeng Lai
Ness B. Shroff
Yingbin Liang
522
9
0
02 Jun 2025
DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform
Peizhi Niu
Yu-Hsiang Wang
Vishal Rana
Chetan Rupakheti
Abhishek Pandey
O. Milenkovic
815
1
0
08 Apr 2025
Improving Discriminator Guidance in Diffusion Models
Alexandre Verine
Mehdi Inane
Florian Le Bronnec
Benjamin Négrevergne
Y. Chevaleyre
DiffM
371
2
0
20 Mar 2025
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Milan Papez
Martin Rektoris
Václav Smídl
Tomás Pevný
TPM
416
1
0
15 Mar 2025
Backdoor Attacks on Discrete Graph Diffusion Models
Jiawen Wang
Samin Karim
Yuan Hong
Binghui Wang
DiffM
514
2
0
08 Mar 2025
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions
Zhong Li
Qi Huang
Lincen Yang
Jiayang Shi
Zhao Yang
Niki van Stein
Thomas Bäck
M. Leeuwen
DiffM
346
12
0
24 Feb 2025
Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion
Abdullah Alchihabi
Yuhong Guo
DiffM
236
0
0
03 Jan 2025
GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Zhixia He
Chen Zhao
Minglai Shao
Yujie Lin
Dong Li
Q. Tian
DiffM
229
8
0
23 Oct 2024
Molecular Dynamics and Machine Learning Unlock Possibilities in Beauty Design -- A Perspective
AIP Advances (AIP Adv.), 2024
Yuzhi Xu
Haowei Ni
Qinhui Gao
Chia-Hua Chang
Yanran Huo
...
Yike Zhang
Radu Grovu
Min He
John Z. H. Zhang
Yuanqing Wang
AI4CE
371
4
0
08 Oct 2024
EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing
International Conference on Learning Representations (ICLR), 2024
Kaizhi Zheng
Xiaotong Chen
Xuehai He
Jing Gu
Linjie Li
Zhengyuan Yang
Kevin Qinghong Lin
Jianfeng Wang
Lijuan Wang
Xin Eric Wang
KELM
DiffM
322
10
0
03 Oct 2024
Graph Residual Noise Learner Network for Brain Connectivity Graph Prediction
Oytun Demirbilek
Tingying Peng
Alaa Bessadok
DiffM
123
0
0
30 Sep 2024
Sub-graph Based Diffusion Model for Link Prediction
LOG IN (LOG IN), 2024
Hang Li
Wei Jin
Geri Skenderi
Harry Shomer
Wenzhuo Tang
Wenqi Fan
Shucheng Zhou
DiffM
328
2
0
13 Sep 2024
Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
International Conference on Learning Representations (ICLR), 2024
Shengyuan Zhang
Ling Yang
Ziyue Li
An Zhao
Chenye Meng
Changyuan Yang
Guang Yang
Zhiyuan Yang
Lingyun Sun
373
0
0
28 Aug 2024
Diffusion Models in
De
Novo
\textit{De Novo}
De Novo
Drug Design
Journal of Chemical Information and Modeling (JCIM), 2024
Amira Alakhdar
Barnabas Poczos
Newell Washburn
MedIm
250
68
0
07 Jun 2024
Discrete-state Continuous-time Diffusion for Graph Generation
Neural Information Processing Systems (NeurIPS), 2024
Zhe Xu
Ruizhong Qiu
Yuzhong Chen
Huiyuan Chen
Xiran Fan
Menghai Pan
Zhichen Zeng
Mahashweta Das
Hanghang Tong
421
69
0
19 May 2024
A Comprehensive Survey on Data Augmentation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
789
93
0
15 May 2024
Graph data augmentation with Gromow-Wasserstein Barycenters
Andrea Ponti
226
0
0
12 Apr 2024
Resistive Memory-based Neural Differential Equation Solver for Score-based Diffusion Model
Jichang Yang
Hegan Chen
Jia Chen
Song-jian Wang
Shaocong Wang
...
Dashan Shang
Han Wang
Qi Liu
Kwang-Ting Cheng
Ming-Yuan Liu
DiffM
231
2
0
08 Apr 2024
On Diffusion Process in SE(3)-invariant Space
Zihan Zhou
Ruiying Liu
Jiachen Zheng
Xiaoxue Wang
Tianshu Yu
DiffM
279
2
0
03 Mar 2024
Enhanced Droplet Analysis Using Generative Adversarial Networks
Tan-Hanh Pham
Kim-Doang Nguyen
448
6
0
24 Feb 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
Neural Information Processing Systems (NeurIPS), 2024
Lingxiao Zhao
Xueying Ding
Leman Akoglu
DiffM
311
21
0
06 Feb 2024
Diffusion-based Graph Generative Methods
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Hongyang Chen
Can Xu
Lingyu Zheng
Qiang Zhang
Xuemin Lin
DiffM
MedIm
404
5
0
28 Jan 2024
ToDA: Target-oriented Diffusion Attacker against Recommendation System
Xiaohao Liu
Zhulin Tao
Ting Jiang
He Chang
Yunshan Ma
Yinwei Wei
Xianglin Huang
DiffM
AAML
481
9
0
23 Jan 2024
SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting
Lequan Lin
Dai Shi
Andi Han
Junbin Gao
DiffM
AI4TS
315
10
0
16 Jan 2024
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications
Xijun Li
Fangzhou Zhu
Hui-Ling Zhen
Weilin Luo
Meng Lu
...
Jia Zeng
Mingxuan Yuan
Jianye Hao
Jun Yao
Kun Mao
391
6
0
11 Jan 2024
Pyramid Diffusion for Fine 3D Large Scene Generation
Yuheng Liu
Xinke Li
Xueting Li
Lu Qi
Chongshou Li
Ming-Hsuan Yang
454
43
0
20 Nov 2023
Fast Graph Condensation with Structure-based Neural Tangent Kernel
The Web Conference (WWW), 2023
Lin Wang
Wenqi Fan
Jiatong Li
Yao Ma
Qing Li
DD
452
43
0
17 Oct 2023
On Accelerating Diffusion-based Molecular Conformation Generation in SE(3)-invariant Space
Zihan Zhou
Ruiying Liu
Tianshu Yu
DiffM
263
0
0
07 Oct 2023
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability
Neural Information Processing Systems (NeurIPS), 2023
Zijie Geng
Xijun Li
Jie Wang
Xiao Li
Yongdong Zhang
Feng Wu
455
28
0
04 Oct 2023
A Survey of Diffusion Based Image Generation Models: Issues and Their Solutions
Tianyi Zhang
Zheng Wang
Jin Huang
M. M. Tasnim
Wei Shi
VLM
304
34
0
25 Aug 2023
Recommender Systems in the Era of Large Language Models (LLMs)
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Zihuai Zhao
Wenqi Fan
Jiatong Li
Yunqing Liu
Xiaowei Mei
...
Zhen Wen
Fei Wang
Xiangyu Zhao
Shucheng Zhou
Qing Li
KELM
769
476
0
05 Jul 2023
MoleCLUEs: Molecular Conformers Maximally In-Distribution for Predictive Models
Michael R. Maser
Natasa Tagasovska
Jae Hyeon Lee
Andrew Watkins
394
0
0
20 Jun 2023
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Jiatong Li
Yunqing Liu
Wenqi Fan
Xiao Wei
Hui Liu
Shucheng Zhou
Qing Li
215
137
0
11 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey
Pattern Recognition (Pattern Recogn.), 2023
Ziyi Chang
George Alex Koulieris
Hyung Jin Chang
Hubert P. H. Shum
DiffM
804
91
0
07 Jun 2023
NAP: Neural 3D Articulation Prior
Jiahui Lei
Congyue Deng
Bokui Shen
Leonidas Guibas
Kostas Daniilidis
DiffM
327
25
0
25 May 2023
Modeling and design of heterogeneous hierarchical bioinspired spider web structures using generative deep learning and additive manufacturing
Wei Lu
Nicolas A. Lee
Markus J. Buehler
AI4CE
188
2
0
11 Apr 2023
A Survey on Generative Diffusion Model
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Hanqun Cao
Cheng Tan
Zhangyang Gao
Yilun Xu
Guangyong Chen
Pheng-Ann Heng
Stan Z. Li
MedIm
1.0K
485
0
06 Sep 2022
1
Page 1 of 1
